Introduction/Review of Tidyverse
- Tidyverse: a collection of open source packages for the R programming language introduced by Hadley Wickham and his team that “share an underlying design philosophy, grammar, and data structures” of tidy data. (Wikipedia)
- Widely-used approach to data science in R
Resources to learn Tidyverse
- Links embedded in assignment
- R for Data Science: https://r4ds.hadley.nz/intro
- Data Carpentry: https://datacarpentry.org/R-ecology-lesson
Science Question
How does water quality (temperature and chlorophyll-a) vary across time and among drinking water reservoirs in the Roanoke region?
Data
CSV data available through the Environmental Data Initiative repository
Assignment
The assignment is designed to help you review R tidyverse skills that have been introduced to prior to the course.
- Accept (e.g. fork) assignment
- Clone your accepted assignment repo to your computer
- Work on assignment (many commits)
- Push assignment to GitHub (many times - this a backup)
- Final render of document to HTML
- Commit and push HTML to GitHub
- Upload HTML to Canvas
